Caroline’s part

• Set background etc.

David’s part

Self-contained reproducible research papers

• Easier
• Everything is in R; only external dependency is the data
• In principle (pretty much) a solved problem
  • Some friction points:
  • package versions (thow everything in Docker / Packrat)
  • getting tables how you want them
  • collaboration; e.g. working with Overleaf

What if you can’t do everything in R?

• Here there be dragons
• Complex dependencies
• Time consuming-analyses
• Long pipelines

Our approach

• Make modular by containerising each step
• Reusable, reproducible
• The final module makes the paper
• Join outputs of containers with Makefile

Example - IDInteraction

• Automate the coding of behaviours
• This is really slow and tedious to do by hand.

Docker images

• Each module contains its own Makefile
• Example: object tracking

Docker images

• Each module contains its own Makefile
• Example: object tracking

Docker images

• Each module contains its own Makefile
• Example: object tracking

Challenges

Additional complexity Building the paper can be a challenge even with Docker

Benefits

• Transparency
• Every figure can be traced back to its source
• Reusability and extensibility
• RSE is an integral part of the paper production process ==> appropriate credit

Caroline’s wrap up

• Conclusions